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Erasmus Mundus European Master in Linguistic Data Science (EMLDS) - Complete Guide

  • Writer: Omran Aburayya
    Omran Aburayya
  • Mar 16
  • 3 min read

The Erasmus Mundus European Master in Linguistic Data Science (EMLDS) is an innovative program designed to bridge the gap between linguistics, computer science, and data science. This program, funded by the European Union, aims to equip students with the skills and knowledge needed to address contemporary challenges in linguistic data analysis and its applications in various fields. By co - mbining theoretical foundations with practical training, the EMLDS program prepares graduates for both academic and professional careers in this interdisciplinary domain.

 

EMLDS Summary

  • Location Multiple European countries (mobility across partner universities).

  • Host Universities: Consortium of European universities, including NOVA University Lisbon, Università Cattolica del Sacro Cuore, University of Galway, and Universidad Zaragoza.

  • Study Level: Master's degree.

  • Areas of Focus: Linguistics, computer science, data science, and their intersections.

  • Awarded Degree: Joint degree or multiple degrees from the consortium universities.

  • Target Group: International students with a background in linguistics, computer science, or related fields.

  • Funding: Full Erasmus+ scholarships covering tuition fees, travel costs, and a monthly living allowance.

  • Duration: Two years (120 ECTS credits).

  • Application Deadline: Dates to be Announced (Typically between October and January up to March)

  • Eligibility: Bachelor's degree or equivalent in a relevant field; proficiency in English.

 

Programme Overview, Curriculum, and Structure

The EMLDS program is structured to provide a comprehensive education in linguistic data science. Students will also engage in research projects, internships, and a master's thesis, ensuring a well-rounded academic experience.


The program is a 120 ECTS English-language joint degree that combines linguistics, computer science, and data science. Key components include:

  • Core Courses: Covering topics like automatic language processing, data visualization, and machine learning for linguistic data.

  • Practical Training: Hands-on experience with managing and analyzing large linguistic datasets.

  • Mobility Scheme: Students study across the four partner universities, gaining diverse academic and cultural experiences.

  • Research and Industry Application: Opportunities to apply theoretical knowledge in real-world scenarios.

 

Participating Universities Options and Specializations

The European Master in Linguistic Data Science (EMLDS) is a collaborative program involving four European universities. These are:

  • NOVA University Lisbon (Portugal)

  • Università Cattolica del Sacro Cuore (Italy)

  • University of Galway (Ireland)

  • Universidad de Zaragoza (Spain)


Students will have the opportunity to study at multiple partner universities, experiencing diverse academic environments and cultural contexts. Specializations may include:

  • Natural language processing

  • Computational linguistics

  • Data visualization

  • Ethical considerations in linguistic data science.

 

Erasmus+ Scholarship Benefits

  • Fees Covered: Full tuition fees.

  • Travel and Living Costs: Travel expenses and a monthly living allowance of €1,400 are usually provided.

  • Additional Support: Access to academic resources, networking opportunities, and career guidance.

 

Eligibility Criteria

  1. A bachelor's degree or equivalent in linguistics, computer science, or a related field.

  2. Proficiency in English (proof of language proficiency may be required).

  3. Strong academic record and motivation for interdisciplinary studies.

 

Application Procedure

1. Application Procedure:

  • Submit an online application through the program's official platform.

  • Provide details of academic background, work experience, and motivation.

  • Indicate preferred mobility options and specializations.


2. Documents Required:

  • Academic transcripts and degree certificates.

  • Proof of English language proficiency.

  • Curriculum vitae (CV).

  • Statement of purpose or motivation letter.

  • Letters of recommendation.

  • Passport or identification document.


ℹ️ Further Information

For detailed information about the Erasmus Mundus European Master in Linguistic Data Science (EMLDS) visit the official link below.


🔗 OFFICIAL LINK

 

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